Terminal CLI
How to Install MCP Servers in OpenAI Codex CLI
How to add MCP servers to the OpenAI Codex CLI — the [mcp_servers] tables in ~/.codex/config.toml, the codex mcp add command, and how to confirm tools loaded.
Configuring OpenAI Codex CLI
User (global) path
~/.codex/config.toml# ~/.codex/config.toml
[mcp_servers.filesystem]
command = "npx"
args = ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/dir"]
[mcp_servers.filesystem.env]
# API_KEY = "..."Step-by-step Installation Guide
- 1
Add the server with the CLI or config file
Run "codex mcp add <name> -- <command> [args...]", or add an [mcp_servers.<name>] table to ~/.codex/config.toml. Codex uses TOML, not JSON, so each server is its own table.
- 2
Set command, args, and env
Each server table takes a "command" string and an "args" array. Put secrets in a nested [mcp_servers.<name>.env] table rather than in the args.
- 3
Verify inside a session
Start Codex and run the /mcp command to list configured servers and their tools. If a server is missing, check the TOML syntax — a malformed table silently drops the entry.
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- domain_check_score_batch_v1 — free The same triage scores for up to 100 domains in a single call. One score summary per distinct domain: overall score, per-category scores, and how many findings each category raised. Never the findings themselves.
- domain_check_v1 — $0.01 per call Full report for one domain: weighted score out of 100, per-category breakdown, and every individual finding with a prioritised remediation order.
-
domain_check_batch_v1 — from $0.005 per domain
The same full report for up to 100 domains in a single call, with one payment for the whole batch instead of one per domain. Both cheaper per domain and much faster than calling
domain_check_v1in a loop.
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